城市交通诱导与控制的融合研究

发布时间：2018-07-09 13:14

本文选题：交通工程 + 交通诱导　；参考：《北京科技大学》2015年博士论文

【摘要】：目前交通行业面临的主要热点问题有拥堵问题;供需问题；效率问题；绿色交通问题等。以这些问题为基础,论文以城市交通系统控制与诱导(Urbantraffic control and guidance system, UTCGS)为研究对象,运用信息物理系统(Cyber-physical system, CPS)理论将城市交通流诱导系统(Urban traffic flow guidance system, UTFGS)与城市交通信号控制系统(Urban traffic control system, UTCS)融合。融合研究同一UTFGS与UTCS的交通时空因素,以达到系统优化目标,利于消除拥堵；考虑人机因素提高诱导接受率,以达到诱导目标,平衡供需；调整UTCS以降低延误,以达到控制目标,提高效率；以系统优化目标、诱导目标、控制目标为基础,考虑节能减排目标,以达到总融合目标,利于绿色交通出行。论文的主要研究内容和创新点： (1)根据UTCS与UTFGS的冲突性及解决方案,从计算、通讯及控制(Computing, Communication and Control,3C)技术层面对UTCGS进行划分,建立了一种基于CPS理论的UTCGS融合框架。 (2)为避免多车诱导导致的拥堵,同时满足驾驶员出行需求,本文单车诱导算法融合系统优化目标和单车诱导目标。针对路网交通状况不确定性问题,单车诱导方式分为全局式和步进式。 (3)针对多车诱导导致的拥堵问题,考虑驾驶员出行需求,提出了一种提高诱导接受率的交通系统诱导算法。本文系统诱导算法同时达到系统优化目标和诱导目标。 (4)针对节能减排的总融合目标,研究了同一交通系统时间和空间因素的UTCGS的融合算法。在论文系统诱导算法的基础上,融合算法增加了以降低延误为目标的UTCS。融合算法同时达到系统优化目标、诱导目标、控制目标和总融合目标。 UTFGS融合研究为解决城市交通问题提供了新的视角和方法,具有一定的的理论参考和实践指导意义。
[Abstract]:At present, the main hot issues facing the transportation industry are congestion, supply and demand, efficiency, green traffic and so on. Based on these problems, the paper takes urban traffic control and guidance system, (UTCGS) as the research object. Based on the theory of Cyber-physical system (CPS), Urban traffic flow guidance system, UTFGS is combined with Urban traffic control system, UTCS. Fusion study of the same UTFGS and UTCS traffic space-time factors, in order to achieve the goal of system optimization, conducive to eliminate congestion; consider man-machine factors to improve the inductive acceptance rate to achieve the goal of guidance, balance supply and demand; adjust UTCS to reduce delay, In order to achieve the goal of control, improve efficiency, on the basis of system optimization goal, guidance goal, control goal, consider the goal of energy saving and emission reduction, in order to achieve the total integration goal, which is conducive to green traffic travel. The main research contents and innovations of this paper are as follows: (1) according to the conflict between UTCs and UTFGs and their solutions, UTCGS is divided from the technical level of calculation, Communication and Control 3C. A UTCGS fusion framework based on CPS theory is established. (2) in order to avoid the congestion caused by multi-vehicle induction and to meet the needs of drivers, the single vehicle guidance algorithm fusion system optimization goals and single vehicle guidance targets are proposed. In view of the uncertainty of road network traffic condition, bicycle guidance is divided into global and stepwise. (3) considering the problem of congestion caused by multi-vehicle guidance, drivers' travel needs are taken into account. In this paper, a new guidance algorithm for traffic system is proposed. In this paper, the system guidance algorithm achieves both the system optimization and guidance goals. (4) aiming at the total fusion goal of energy saving and emission reduction, the fusion algorithm of UTCGS with the same traffic system time and space factors is studied. On the basis of the system induction algorithm in this paper, the fusion algorithm adds UTCS aimed at reducing delay. The fusion algorithm simultaneously achieves the system optimization goal, the guidance goal, the control target and the total fusion target. The research of UTFGS fusion provides a new perspective and method for solving the urban traffic problem. It has certain theoretical reference and practical guiding significance.
【学位授予单位】：北京科技大学
【学位级别】：博士
【学位授予年份】：2015
【分类号】：U495

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